Information survivability control systems
Proceedings of the 21st international conference on Software engineering
Error Recovery in Critical Infrastructure Systems
CSDA '98 Proceedings of the Conference on Computer Security, Dependability, and Assurance: From Needs to Solutions
Static vs. Dynamic Recovery Models for Survivable Distributed Systems
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 2 - Volume 2
A Definition for Information System Survivability
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 9 - Volume 9
A Framework for Quantifying Information System Survivability
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Survival of the Internet Applications: A Cluster Recovery Model
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
A Novel Quantitative Analysis Method for Network Survivability
IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06) - Volume 02
ERAS - an Emergency Response Algorithm for Survivability of Critical Services
IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06) - Volume 02
Unifying strategies and tactics: a survivability framework for countering cyber attacks
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
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In this paper, we propose a recovery model to enhance system survivability through critical service resource reconfiguration. That is, the model focuses on how to preserve the system and resume its critical service while incident occurs by reconfiguring the system based on the remaining available resources without affecting the stability of the system. There are three motivating factors of importance in this recovery model namely, the response time of reconfiguration, the cost of reconfiguration, and the number of pre-empted non-critical service resources. The adoption of fault-tolerance using redundancy in our model is discussed from a new perspective.